Rilla
Rilla is an AI coach for field sales teams. It records every customer conversation and provides feedback session by session. It also enables role-playing exercises, helping managers coach more salespeople in less time.
Updated: 2026-10-26
What is Rilla?
Rilla is an AI coach designed for in-person sales teams. It focuses on turning every customer conversation into reusable coaching opportunities through recordings, solving the problem that managers can’t listen in on every call. Salespeople record their interactions, and Rilla provides one-on-one feedback and supports role-playing, allowing managers to coach more people and more sessions in less time. Officially, it is billed as the first AI coach for face-to-face sales, emphasizing speed and security visibility. It transforms the coaching that previously could only be done by managers listening on-site into recordable, quantifiable, and scalable daily actions, ensuring that field sales teams no longer fall out of management’s oversight.
Who is it for?
- Enterprises mainly focused on in-person business talks, such as home improvement, home construction, property management, and dental care, where every conversation is the scene of closing a deal.
- Sales managers who manage multiple field sales teams and don't have time to sit in on every call, and who need leverage.
- Leaders who need to shorten the onboarding cycle for new hires and rapidly elevate the performance of their teams, using data instead of impressions.
- Managers who want to evaluate sales performance using behavioral data rather than intuition to make more objective personnel decisions.
Key features
5Three-step process
Sales face-to-face conversations, recording with Rilla, and managers conducting coaching via virtual ride-alongs. The process is simple and clear, the team can easily get started, and there's no need to change existing habits.
Real-time feedback per call
Provides improvement points for each conversation, helping salespeople identify areas where they can do better, and turns review into a daily habit instead of relying on memory afterward.
Virtual Ride-Along
Managers can listen in and provide feedback without being physically present, significantly increasing the number of sessions they can cover per unit of time—from just a few sessions a week to dozens, doubling or even tripling their coaching capacity.
Full visibility
Managers can track each sales representative's behavior during every appointment, ensuring coverage of every team member every day, eliminating blind spots, and moving away from reliance on random spot checks for management.
Role Play
Practice and drill with AI to let new hires refine their sales scripts and responses before facing real customers, reducing trial-and-error costs on the job and shortening their onboarding period.
How to use Rilla
- 1First pilot recording and ride-alongs with one group to get the team used to being recorded before rolling out company-wide, reducing resistance.
- 2Conduct one-on-one coaching with session-by-session feedback, focusing on the room for improvement in close rates and average order values, and quantify progress.
- 3Integrate virtual ride-alongs into your weekly routine, cover more sessions in your spare time without taking up formal meetings.
- 4New hires can immediately use role-playing to polish their sales pitches, shortening the time from onboarding to consistently closing deals.
- 5Focus on behavioral data trends rather than one-off results. In the long run, the team's stability and baseline will improve significantly, making the coaching investment worthwhile.
- 6Turn excellent recordings into internal teaching materials, making top-tier sales scripts replicable and lifting the overall team's performance as the sample pool grows.
Traffic & popularity
Data month Sep 2026
Rilla receives about 37.4K visits per month and ranks #512,543 worldwide.
Monthly visits
12 monthsTraffic sources
- Direct69.6%
- Search15.8%
- Social7.2%
- Referrals4.4%
- Mail2.0%
- Other1.0%
Top countries
- United States95.6%
- Canada1.6%
- Brazil1.0%
- India0.9%
- United Kingdom0.8%
Estimated from third-party traffic data.
